2 citations · 3 across the 5 of their papers we have counts for
6 papers
Spatial Model Selection and Uncertainty Quantification: Comparing Continuous and Discrete Wound Healing Models
John T. Nardini, Jana L. Gevertz
All data-driven modeling tasks (e.g., parameter estimation, uncertainty quantification, and data forecasting) require the selection of a mathematical model. An overlooked aspect of…
Mentoring Undergraduate Interdisciplinary Mathematics Research Students: Junior Faculty Experiences
Jana L. Gevertz, Peter S. Kim, Joanna R. Wares
To be successful, junior faculty must properly manage their time in the face of expanding responsibilities. One such responsibility is supervising undergraduate research projects.…
Limiting the Development of Anti-Cancer Drug Resistance in a Spatial Model of Micrometastases
Ami B. Shah, Katarzyna A. Rejniak, Jana L. Gevertz
While chemoresistance in primary tumors is well-studied, much less is known about the influence of systemic chemotherapy on the development of drug resistance at metastatic sites.…
Emergence of Anti-Cancer Drug Resistance: Exploring the Importance of the Microenvironmental Niche via a Spatial Model
Jana L. Gevertz, Zahra Aminzare, Kerri-Ann Norton +3
Practically, all chemotherapeutic agents lead to drug resistance. Clinically, it is a challenge to determine whether resistance arises prior to, or as a result of, cancer therapy.…
Finding Important Genes from High-Dimensional Data: An Appraisal of Statistical Tests and Machine-Learning Approaches
Chamont Wang, Jana Gevertz, Chaur-Chin Chen +1
Over the past decades, statisticians and machine-learning researchers have developed literally thousands of new tools for the reduction of high-dimensional data in order to identif…
Mean survival times of absorbing triply periodic minimal surfaces
J. Gevertz, S. Torquato
Understanding the transport properties of a porous medium from a knowledge of its microstructure is a problem of great interest in the physical, chemical and biological sciences. U…